Supervised machine learning models using mental foramen measurements from digital panoramic radiographs achieved moderate biological sex classification accuracy, reaching up...

Researchers have mapped the landslide susceptibility of the Central Yunnan Plateau in Southwest China by integrating optimized statistical and machine...

A new explainable machine learning framework applied to South Korea’s public health insurance data reveals macroeconomic indicators associated with national...

A retrospective two-center study demonstrates that a LightGBM machine learning model accurately predicts late recurrent intussusception in children following successful...

A radiological study of 306 Egyptian adults demonstrated that machine learning algorithms, led by decision trees using femoral head diameter,...

An exploratory prospective study found that machine learning and penalized regression models predicting five-year arterial stiffness changes failed to outperform...

In a screening cohort of 4,583 men, machine learning models utilizing routinely collected health variables showed only modest predictive ability...

Machine learning models utilizing routinely collected clinical biomarkers accurately predicted the short-term risk of impulsivity in hospitalized schizophrenia patients.

A machine learning study of 906 school children in Xi'an reveals that subjective street perceptions and strict environmental thresholds strongly...

Researchers using machine-learning models identified parental bonding experiences, particularly maternal overprotection, as top predictive factors associated with premenstrual disorders.